I have a model which I annotated using MetaNetX, and then I wanted to generate a MEMOTE report, to compare it to my pre-MetaNetX model.
However, I get the error:
../test_consistency.py FFAborted (core dumped)
My pre-MetaNetX files do not have this problem.
Code Sample
I have run MEMOTE both in python:
# Load model
model = read_sbml_model('model.xml')
# Run memote
result=memote.test_model(model, results=True)
# Print report to disk
report = memote.snapshot_report(result[1], config=None, html=True)
with open("model.html", "w") as handle:
handle.write(report)
We're sorry, we encountered a network issue while trying to upload your model. Please check your internet connection, and try again in a short while.
Running with skip=["test_stoichiometric_consistency"] in python and --skip test_consistency in command line fixes the issue but I want these values.
How can I achieve this?
Is it due to the filesize limitations or something MetaNetX is doing?
If so, do you have another recommendation to fill out the annotation and metadata?
Context
```
Jinja2 3.0.0
black ; extra == 'development' not installed
click 7.0
click-configfile 0.2.3
click-log 0.3.0
cobra 0.21.0
cookiecutter 1.7.3
depinfo 1.7.0
future 0.18.2
gitpython 3.1.18
goodtables 2.5.4
importlib-resources 5.1.0
isort ; extra == 'development' not installed
memote 0.13.0
numpydoc 1.1.0
pandas 1.1.3
pip 20.0.2
pylru 1.2.0
pytest 4.6.11
requests 2.23.0
ruamel.yaml 0.16.0
setuptools 46.4.0.post20200518
six 1.14.0
sqlalchemy 1.4.19
sympy 1.7.1
tox ; extra == 'development' not installed
travis-encrypt 1.1.2
wheel 0.34.2
```
Problem description
I have a model which I annotated using MetaNetX, and then I wanted to generate a MEMOTE report, to compare it to my pre-MetaNetX model.
However, I get the error:
../test_consistency.py FFAborted (core dumped)
My pre-MetaNetX files do not have this problem.
Code Sample
I have run MEMOTE both in python:
and command line:
and online
Running with
skip=["test_stoichiometric_consistency"]
in python and--skip test_consistency
in command line fixes the issue but I want these values.How can I achieve this? Is it due to the filesize limitations or something MetaNetX is doing? If so, do you have another recommendation to fill out the annotation and metadata?
Context